AI Solution Architect

Job description

Company Description We are looking for an AI Solution Architect who will be responsible for translating business requirements into scalable, robust, and efficient technical solutions. This role is part of Sigma Software’s Center of Excellence, a strategic division dedicated to delivering high-impact technological solutions across diverse industries. The team specializes in advanced architecture design, AI/ML integration, cloud-native solutions, and enterprise-grade systems. Operating as a knowledge and innovation hub, it collaborates with global clients to solve complex business challenges through cutting-edge technology and best engineering practices. The project focuses on developing AI-powered voice and conversational solutions, leveraging modern AI/LLM technologies to create scalable, secure, and production-ready systems. This initiative is part of a new strategic direction within the company, aimed at establishing a fresh revenue stream. Job Description Translate complex business requirements into end-to-end solution architecture and technical design Design scalable AI-driven solutions with a focus on performance, security, reliability, maintainability, and compliance Design and integrate AI-powered components such as LLMs, voice AI, conversational AI systems, backend services, and third-party integrations into cohesive architectures Participate in pre-sales activities, including technical discovery, solution proposals, estimations, advisory services, PoCs, and client presentations Contribute to RFPs, technical documentation, tender responses, and architecture-related proposal materials Partner with PMs, architects, and engineering teams to align architecture decisions with project goals, constraints, and delivery timelines Define architectural principles, standards, governance rules, CI/CD expectations, operational guidelines, and engineering best practices for AI solutions Balance functional and non-functional requirements, including scalability, performance, security, cost, and time-to-market Drive and justify key technical decisions based on trade-offs, business priorities, and alternative approaches Ensure architectural compliance and technical quality throughout the implementation lifecycle Provide technical leadership, mentorship, and guidance to engineering teams Qualifications 7+ years of experience in software engineering and system design 3+ years in a technical leadership or architecture role Strong proficiency in Python Hands-on experience with AI/ML solutions, including LLMs and Generative AI Experience designing and implementing AI-powered solutions such as RAG systems, AI agents, voice AI, or conversational AI applications Hands-on experience with TensorFlow or PyTorch Understanding of AI system design best practices, including scalability, security, and production readiness Proven experience designing distributed and integration-heavy systems Experience with cloud platforms such as AWS, GCP, or Azure Hands-on experience with containerization and orchestration tools (Docker, Kubernetes, Helm) Strong understanding of APIs, microservices architecture, and system integration patterns Experience participating in pre-sales activities, technical solutioning, workshops, or client-facing engagements Strong communication skills and ability to work with both technical and non-technical stakeholders English: Advanced level Additional Information PERSONAL PROFILE Ability to make and defend strategic technical decisions Strategic thinker with the ability to see the “big picture” Strong ability to bridge business needs with technical solutions High level of ownership and accountability Adaptability in dynamic environments Leadership through expertise and influence